CV Focus:

Antony Syengo

Full-Stack Software Developer

Web Applications · Business & POS Systems · Data-Driven Solutions

Nairobi, Kenya
syengowork@gmail.com+254 114 513 647antonysyengo.vercel.applinkedin.com/in/antony-syengo

Professional Summary

Full-Stack Software Developer with a Bachelor of Science in Data Science and Analytics from Jomo Kenyatta University of Agriculture and Technology (JKUAT). Experienced in designing, building, and deploying responsive web applications and multi-tenant business software using Next.js, React, TypeScript, Node.js, and PostgreSQL/Supabase. Proven track record of delivering e-commerce platforms, Point-of-Sale (POS) systems, M-Pesa Daraja payment integrations, and NGO web portals, complemented by enterprise IT support experience at The National Treasury.

Technical Skills

Frontend Engineering: React, Next.js (App Router), TypeScript, JavaScript (ES6+), Tailwind CSS, HTML5 & CSS3, Zustand, Framer Motion
Backend, APIs & Databases: Node.js, Express.js, PostgreSQL, Supabase, MongoDB (Mongoose), RESTful API Design, M-Pesa Daraja API, JWT Authentication
Data Science & Analytics: Python (Pandas, NumPy, Scikit-learn), SQL & Relational Modeling, Statistical Analysis, Data Cleaning & Visualization, Computer Vision (OpenCV)
DevOps, Tooling & IT Systems: Git & GitHub, Docker, Vercel & Render Deployment, Cloudinary, Workstation & OS Troubleshooting, Hardware & LAN Diagnostics

Professional Experience

Full-Stack Software Developer (Freelance & Independent Systems)

Nairobi, Kenya | 2025 – Present
  • Design, build, and deploy full-stack web applications and vertical business systems for retail, hospitality, and nonprofit clients using Next.js, React, TypeScript, Node.js, and Supabase/PostgreSQL.
  • Deliver end-to-end e-commerce and Point-of-Sale (POS) workflows featuring real-time inventory synchronization, role-based admin dashboards, and automated M-Pesa Daraja API mobile payments.
  • Developed and launched the official web platform for Maasai Action Aid Initiative (maactionaid.org), implementing responsive accessibility, technical SEO, and donor inquiry workflows.

IT Support / Technician Attachee (Industrial Attachment)

The National Treasury — Nairobi CBD, Kenya | 2024
  • Provided first-line technical support to ministry staff across departments, diagnosing and resolving hardware, operating system, and office software issues.
  • Configured, updated, and maintained desktop workstations, peripheral devices, and printers while assisting with local area network (LAN) connectivity troubleshooting.
  • Supported routine preventive hardware maintenance, system updates, and secure workstation configuration in line with public-sector ICT procedures.
  • Documented support tasks and escalated complex network or enterprise infrastructure incidents to senior ICT officers for timely resolution.

Digital & Graphic Design Volunteer

Tuwakuze Africa | 2022
  • Designed digital communication and promotional graphics using Adobe Illustrator to support community outreach campaigns and organizational events.

Selected Software Engineering Projects

Kilimani HairOS

— Retail E-Commerce, Inventory & POS Platform
kilimanihair.com

Architected a unified retail management and e-commerce platform for a wig retailer, combining online storefront ordering, in-store POS checkout, and inventory control.

  • Integrated M-Pesa Daraja API (STK Push) for automated mobile money checkout and payment reconciliation.
  • Engineered shared inventory state using Supabase (PostgreSQL) and Zustand to prevent overselling across online and walk-in sales channels.

Tech Stack: Next.js · TypeScript · Supabase (PostgreSQL) · M-Pesa Daraja API · Zustand · Tailwind CSS

Op Fits

— Vertical SaaS & Omnichannel Fashion Commerce
opfits.com

Built an omnichannel fashion-commerce platform connecting online storefront purchases with in-store POS operations and centralized inventory management.

  • Designed relational database schemas in PostgreSQL/Supabase for multi-variant apparel catalogs (sizes, drops, and stock levels).
  • Implemented M-Pesa Daraja API checkout flows alongside administrative order and dispatch workflows.

Tech Stack: Next.js · TypeScript · Supabase (PostgreSQL) · M-Pesa Daraja API · Tailwind CSS

Crack OS

— Quick-Service Restaurant (QSR) POS & Order System
crackngo.vercel.app

Developed a quick-service restaurant (QSR) operations system linking digital customer ordering, counter POS checkout, and kitchen fulfillment workflows.

  • Structured multi-branch menu, order queue, and inventory data models in Supabase/PostgreSQL.
  • Integrated M-Pesa Daraja API payment prompts and real-time order status transitions from checkout to kitchen prep.

Tech Stack: Next.js · TypeScript · Supabase (PostgreSQL) · M-Pesa Daraja API · Tailwind CSS

Maasai Action Aid Initiative

— Official NGO Web Platform & Community Portal
maactionaid.org

Designed and deployed the official responsive web platform for a nonprofit organization to showcase community programs, publish news, and capture donor inquiries.

  • Engineered semantic, accessible pages with Next.js and TypeScript, optimizing Core Web Vitals and search engine visibility (SEO).
  • Integrated Formspree-backed communication workflows for donor outreach, volunteer sign-ups, and stakeholder inquiries.

Tech Stack: Next.js · TypeScript · Tailwind CSS · Formspree · SEO Optimization

AmpTech Power Solutions

— Electrical Hardware Catalog & Consultant Checkout
amptech.onrender.com

Built a full-stack product catalog and consultant-checkout application for a renewable energy and electrical hardware supplier using Node.js, Express, and MongoDB.

  • Developed a RESTful backend with Node.js, Express.js, and MongoDB (Mongoose) featuring JWT-authenticated administrative routes.
  • Integrated Cloudinary for automated product image uploads, optimization, and catalog media management.

Tech Stack: Node.js · Express.js · MongoDB · JWT Auth · Cloudinary · JavaScript

Education

Bachelor of Science in Data Science and Analytics

Jomo Kenyatta University of Agriculture and Technology (JKUAT)

Graduated: December 2025

Coursework & Applied Focus: Statistical Modeling, Machine Learning, Database Systems, Data Visualization, Python Programming, and Computer Vision.